Rumour Detection using NLP techniques

I have basic code implementation of this task using bert model. For writing a research paper, they expect an in detail submission having proper analysis and comparisons.

I can share my tutorial sheets as well.

1. Each instance in data has multiple tweets. First tweet is source tweet, which is labelled and is followed by multiple tweets. I need to show difference in accuracy in the FINAL MODEL traaining with these 2 different input You can verify from Difference can be shown using COVID data for anaysis. This will be perfomed only on bert

[login to view URL] features are converted to either word2vec , or embeddings using texts_to_sequence of keras or BERT

We are supposed to compare accuracy using word_2_vec, text_seq using LR, FNN, RNN and LSTM

3. Finally tuning BERT model with FNN, LSTM and RNN and showing its accuracy on COVID data. This is right side of flow chart

Using final model, we can compare accuracy with and without user info as a feature.

SECTIONS I need to include in research paper for which I need your help in code:

Data Exploration : Showing difference in accuracy by training model using only first tweet vs all tweets of an instance. ( Different functions can be made for 2 types of pre-processing). This will be shown in the final model, the model which will give the best accuracy.)

# Please try making different sections in jupyter so that I can comment them later properly


Converting textual to input features: - here 2 types of input features: - comparing accuracy first using word2vec, second using word embeddings ( using text_to_sequence from keras and later from BERT)


Training different models for comparison of accuracy: FNN(with word embeddings using word2vec, text_to_sequence), LSTM, RNN and Logistic

Finally training FNN along fine tuning with BERT.


checking the accuracy of last 3 models, FNN , RNN and LSTM all using BERT on COVID data


Taidot: Python, Machine Learning (ML), Luonnollinen kieli

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Tietoa työnantajasta:
( 0 arvostelua ) YAMUNANAGAR, India

Projektin tunnus: #29944979

9 freelanceria on tarjonnut keskimäärin $216 tähän työhön

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Hello, I am an AI researcher with 3 years experience in deep learning field. My major fields are deep image processing, deep natural language processing, GAN and reinforcement learning. My experiences are image class Lisää

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-----Yours appraisal is our reward------------ I am a machine learning engineer having 5+ year of experience. My skills-- Machine learning,deep learning,image processing,Open CV, kaggle project, python, R, data anal Lisää

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Hello, Greetings! Yes, I will be using Jupyter Notebook and will also comment properly, but somehow the referred Flowchart is missing. But certainly I have got a rough idea. I need to check the accuracy of FNN , RNN Lisää

$350 USD 20 päivässä
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Hi I am a data scientist having 9 years of experience in this field. I have developed numerous applications in machine learning deep learning and computer vision. I can complete your task efficiently. I have worked on Lisää

$167 USD 2 päivässä
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Hello, I can do these task in very efficiently because i have recently worked on a self case studies in which I have used various machine learning/ deep learning techniques for prediction in PYTHON . i have extensively Lisää

$200 USD 6 päivässä
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I have 7 years of working experience with NLP and 4 years experience with deep learning. I have used BERT for various project in NLP. So, I can do project within deadline. Lets chat to discuss project specification and Lisää

$125 USD 7 päivässä
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